Machine Learning Engineer

Train and ship the speech, language, and conversation models that decide whether enterprise customers trust us with their calls.

• Engineering
• Bengaluru, India (Hybrid)
• Hybrid
• Full-time
  
  

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About OneInbox

• We're putting voice at the heart of how enterprises actually run.
• We're the production-grade voice AI platform built for Japan and Asia-Pacific.
• We're handling millions of real calls every month — in Japanese, English, Hindi, and Arabic — for banks, real estate firms, and government services.
• Try OneInbox today.
  
  

Why we're hiring this role

• Voice AI in regulated enterprise contexts lives or dies on real production metrics — not benchmark scores.
• We have proprietary call data across multiple languages and verticals — and not enough hands on it.
• The next 12 months of model improvements directly determine our ceiling on enterprise expansion.
  
  

What you'll be doing

First 30 days

• Get hands-on with the current speech and conversation stack — ASR, TTS, intent, LLM orchestration.
• Set up your evaluation harness against real production call data, not synthetic benchmarks.
• Identify the 3 highest-leverage model improvements based on customer-visible metrics.
  
  

First 60 days

• Ship a measurable improvement to one production-critical model.
• Define and own the evaluation pipeline that the rest of the team will trust.
• Reduce inference latency or cost on at least one hot path without dropping accuracy.
  
  

First 90 days

• Ship a second model improvement, this time in collaboration with engineering and product.
• Stand up a continuous training and eval loop that runs unattended.
• Document the model surface so the next ML hire ramps in half the time.
  
  

Who you are

• 3+ years of applied ML — speech, NLP, or LLM specialization preferred.
• Comfortable with PyTorch, Hugging Face, and modern training infrastructure.
• You've shipped ML to production and felt the difference between offline and online metrics.
• Strong instinct for when to fine-tune, when to retrieve, and when to engineer the prompt.
• Bonus: experience with multilingual or low-resource language modeling.
  
  

Why OneInbox

• Generational impact: build the voice layer that every APAC enterprise eventually runs on.
• Ownership culture: you'll work close to the founders and ship in days, not quarters.
• Kind, high-bar team: senior operators who've built and led at scaled companies — and are easy to work with.
• Strong backing: institutional investors and committed enterprise customers from day one.
  
  

What we offer

• Real ownership: competitive salary and meaningful equity for early team members.
• Health coverage: medical, dental, and vision for you and your dependents.
• Team time: regular in-person off-sites across Tokyo, Singapore, Dubai, and Bengaluru.
• Flexible time off: take what you need, when you need it.
• Learning budget: dedicated annual L&D, plus conference and travel support.
• Daily essentials: catered meals on office days, commuter support, and wellness benefits.
  
  

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